Results 61 to 70 of about 208,635 (216)

Transport–Reaction–Signal Coupling in Lateral Flow Assays for Next‐Generation Point‐of‐Care Diagnostics

open access: yesAdvanced Science, EarlyView.
Lateral flow assays are evolving into interdisciplinary, system‐level sensing platforms. Recent innovations are deconstructed through coupled phases of mass transfer, reaction, and signal transduction, revealing interdependence across porous materials, interfacial chemistry, nanolabels, readout devices, and data‐enabled analysis.
Yan Pan   +6 more
wiley   +1 more source

An Enhanced LSTM Approach for Detecting IoT-Based DDoS Attacks Using Honeypot Data

open access: yesInternational Journal of Computational Intelligence Systems
One of the widening perils in network security is the Distributed Denial of Service (DDoS) attacks on the Internet of Things (IoT) ecosystem. This paper presents an enhanced Intrusion Detection System (IDS) through the proposal of an enhanced version of ...
Arjun Kumar Bose Arnob   +4 more
doaj   +1 more source

2 x 80 Gbit/s DWDM Bidirectional Wavelength Reuse Optical Wireless Transmission [PDF]

open access: yes, 2013
We demonstrate a practical 2×80 Gbit/s dense wavelength division multiplexing (DWDM) bidirectional short-range optical wireless link. The measured power penalties for the bidirectional transmission are less than 0.8 and 0.2 dB compared to the back-to ...
Ghassemlooy, Zabih   +5 more
core   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer   +3 more
wiley   +1 more source

irenekarijadi/RF-LSTM-CEEMDAN:

open access: yes, 2021
This is the source code of hybrid RF LSTM based ...
irenekarijadi
core   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury   +4 more
wiley   +1 more source

LSTM-GWO performance evaluation with experiment 8.

open access: yes, 2022
LSTM-GWO performance evaluation with experiment 8.
Naglaa Fathy Hassan (13189914)   +2 more
core   +1 more source

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

open access: yesAdvanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin   +4 more
wiley   +1 more source

Automated detection and recognition system for chewable food items using advanced deep learning models

open access: yesScientific Reports
Identifying and recognizing the food on the basis of its eating sounds is a challenging task, as it plays an important role in avoiding allergic foods, providing dietary preferences to people who are restricted to a particular diet, showcasing its ...
Yogesh Kumar   +5 more
doaj   +1 more source

Gold Prices Forecasting Using Bidirectional LSTM Model Based on SPX500 Index, USD Index, Crude Oil Prices and CPI

open access: yes, 2023
The objective of this research is to develop an accurate gold price forecasting model using Bidirectional LSTM model, taking into account significant factors such as the SPX500 Index, USD Index, Crude Oil Prices, and Consumer Price Index (CPI ...
Leow, Meng Chew   +2 more
core   +1 more source

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